Previous work on question generation assumes that the answer is known, typically contained in a passage given in the input
[1]}, [2]}, [3]}.
Such passages, though, are what is being sought when fact-checking a claim.
The only exception is recent work on clarification questions [4]}, [5]}.
However, work in this area examines a specific narrow domain where a limited number of questions can be asked, e.g. questions related to product descriptions in the Amazon dataset of [6]}, or dialogues in the Ubuntu dataset [7]}, which is not the case in fact-checking. Fact-checking questions are more diverse and may rely on the experience and intuition of the fact-checker as they aim to scrutinize every piece of information within the claim. They can be as generic as questions about general definitions or as specific as those tackling details about a one-time event.
